Intellegens to Lead Consortium Focused on ‘trustworthy AI’ for UK Materials and Chemicals R&D

Intellegens today announced that it will lead a consortium to help accelerate the adoption of artificial intelligence (AI) methods such as machine learning (ML) in the UK materials and chemicals industries. The initial phase of the project, funded by Innovate UK KTN, part of UK Research and Innovation, will study factors that limit use of this technology. It will also recommend steps to increase trust and drive the application of AI/ML to optimise vital products and processes while reducing energy and resource consumption in pursuit of net zero goals. 

Image Credit: Intellegens

AI, particularly well-established ML methods, can enable chemical and materials R&D organisations to learn from their experimental and process data, guiding and accelerating the development of formulated products and the implementation of industrial processes. In large-scale operations, even small percentage changes in resource use or outputs can save millions of pounds and millions of tonnes of greenhouse gas emissions. But there are constraints on the adoption of AI. Notably, there is the difficulty of making changes in highly-regulated industries with long-standing practices, especially when it is sometimes hard for users to understand why AI methods are making particular recommendations. 

Initial consortium members include scientists from Johnson Matthey, Domino Printing Sciences, Goodfellow, Welding Alloys Group, the Universities of Cambridge and Leicester, and the Henry Royce Institute - the UK national institute for materials research. These experts will aim to understand the concerns limiting takeup, reviewing issues such as transparency, fairness, bias detection, safety, robustness, auditing and monitoring, compliance, and the need for human oversight in processes. They will explore solutions such as ‘Explainable AI’ tools that ensure the logic underlying AI models can be inspected by scientists and engineers. 

This work is supported with funding won through the “Accelerating trustworthy AI” competitive process run by Innovate UK KTN, which is investing £21m in projects to enable adoption of trusted and responsible AI and ML technologies by UK industry. Intellegens welcomes contact from other organisations interested in participating in the Consortium. The project began on May 1st and will produce recommendations for further action within three months.

“Our long-term vision, shared with our consortium partners and supporters, is to accelerate the adoption of AI in materials and chemicals research,” said Ben Pellegrini, CEO at Intellegens. “It is great to be recognised through the competitive funding process as an organisation that can play a strategic role in this process, which could have a significant impact on the competitiveness and sustainability of these vital industrial sectors.”

Citations

Please use one of the following formats to cite this article in your essay, paper or report:

  • APA

    Intellegens Limited. (2023, May 11). Intellegens to Lead Consortium Focused on ‘trustworthy AI’ for UK Materials and Chemicals R&D. AZoRobotics. Retrieved on November 22, 2024 from https://www.azorobotics.com/News.aspx?newsID=13954.

  • MLA

    Intellegens Limited. "Intellegens to Lead Consortium Focused on ‘trustworthy AI’ for UK Materials and Chemicals R&D". AZoRobotics. 22 November 2024. <https://www.azorobotics.com/News.aspx?newsID=13954>.

  • Chicago

    Intellegens Limited. "Intellegens to Lead Consortium Focused on ‘trustworthy AI’ for UK Materials and Chemicals R&D". AZoRobotics. https://www.azorobotics.com/News.aspx?newsID=13954. (accessed November 22, 2024).

  • Harvard

    Intellegens Limited. 2023. Intellegens to Lead Consortium Focused on ‘trustworthy AI’ for UK Materials and Chemicals R&D. AZoRobotics, viewed 22 November 2024, https://www.azorobotics.com/News.aspx?newsID=13954.

Tell Us What You Think

Do you have a review, update or anything you would like to add to this news story?

Leave your feedback
Your comment type
Submit

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.